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OpenAlex Citation Counts

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OpenAlex is a bibliographic catalogue of scientific papers, authors and institutions accessible in open access mode, named after the Library of Alexandria. It's citation coverage is excellent and I hope you will find utility in this listing of citing articles!

If you click the article title, you'll navigate to the article, as listed in CrossRef. If you click the Open Access links, you'll navigate to the "best Open Access location". Clicking the citation count will open this listing for that article. Lastly at the bottom of the page, you'll find basic pagination options.

Requested Article:

H2GNN: Hierarchical-Hops Graph Neural Networks for Multi-Robot Exploration in Unknown Environments
Hao Zhang, Jiyu Cheng, Lin Zhang, et al.
IEEE Robotics and Automation Letters (2022) Vol. 7, Iss. 2, pp. 3435-3442
Closed Access | Times Cited: 32

Showing 1-25 of 32 citing articles:

Multi-Agent Deep Reinforcement Learning for Multi-Robot Applications: A Survey
James Orr, Ayan Dutta
Sensors (2023) Vol. 23, Iss. 7, pp. 3625-3625
Open Access | Times Cited: 62
An overview: Attention mechanisms in multi-agent reinforcement learning
Kai Hu, Keer Xu, Qingfeng Xia, et al.
Neurocomputing (2024) Vol. 598, pp. 128015-128015
Closed Access | Times Cited: 11
Semantic OcTree Mapping and Shannon Mutual Information Computation for Robot Exploration
Arash Asgharivaskasi, Nikolay Atanasov
IEEE Transactions on Robotics (2023) Vol. 39, Iss. 3, pp. 1910-1928
Open Access | Times Cited: 17
Multi-Robot Environmental Coverage With a Two-Stage Coordination Strategy via Deep Reinforcement Learning
Lina Zhu, Jiyu Cheng, Hao Zhang, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 6, pp. 5022-5033
Closed Access | Times Cited: 6
HMA-SAR: Multi-Agent Search and Rescue for Unknown Located Dynamic Targets in Completely Unknown Environments
Xiao Cao, Mingyang Li, Yuting Tao, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 6, pp. 5567-5574
Closed Access | Times Cited: 6
Deep Reinforcement Learning for Decentralized Multi-Robot Exploration With Macro Actions
Aaron Hao Tan, Federico Pizarro Bejarano, Yuhan Zhu, et al.
IEEE Robotics and Automation Letters (2022) Vol. 8, Iss. 1, pp. 272-279
Open Access | Times Cited: 20
A Multi-Robot Collaborative Exploration Method Based on Deep Reinforcement Learning and Knowledge Distillation
Rui Wang, Ming Lyu, Mingjie Zhang
Mathematics (2025) Vol. 13, Iss. 1, pp. 173-173
Open Access
Fast Path Generation Algorithm for Mobile Robot Navigation Using Hybrid Map
Youngmi Baek, Jung Kyu Park
Applied Sciences (2025) Vol. 15, Iss. 5, pp. 2414-2414
Open Access
Voronoi-GRU-Based Multi-Robot Collaborative Exploration in Unknown Environments
Lei Yang, Jian Hou, P. Ma, et al.
Applied Sciences (2025) Vol. 15, Iss. 6, pp. 3313-3313
Open Access
A Comprehensive Review of Humanoid Robots
Qincheng Sheng, Zhongxiang Zhou, Jinhao Li, et al.
(2025)
Open Access
Graph Neural Network for Decentralized Multi-Robot Goal Assignment
Manohari Goarin, Giuseppe Loianno
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 5, pp. 4051-4058
Closed Access | Times Cited: 3
Hierarchical Perception-Improving for Decentralized Multi-Robot Motion Planning in Complex Scenarios
Yunjie Jia, Yong Song, Bo Xiong, et al.
IEEE Transactions on Intelligent Transportation Systems (2024) Vol. 25, Iss. 7, pp. 6486-6500
Closed Access | Times Cited: 2
Hybrid Vulture-Coordinated Multi-Robot Exploration: A Novel Algorithm for Optimization of Multi-Robot Exploration
Ali El Romeh, Seyedali Mirjalili, Faiza Gul
Mathematics (2023) Vol. 11, Iss. 11, pp. 2474-2474
Open Access | Times Cited: 6
Partially Observable Mean Field Multi-Agent Reinforcement Learning Based on Graph Attention Network for UAV Swarms
Min Yang, Guanjun Liu, Ziyuan Zhou, et al.
Drones (2023) Vol. 7, Iss. 7, pp. 476-476
Open Access | Times Cited: 5
Graph Learning in Robotics: A Survey
Francesca Pistilli, Giuseppe Averta
IEEE Access (2023) Vol. 11, pp. 112664-112681
Open Access | Times Cited: 4
Sensor fusion based multiple robot navigation in an indoor environment
S. I. Arpitha Shankar, M. Shivakumar
International Journal on Interactive Design and Manufacturing (IJIDeM) (2024) Vol. 18, Iss. 7, pp. 4841-4852
Closed Access | Times Cited: 1
Learning Hierarchical Graph-Based Policy for Goal-Reaching in Unknown Environments
Yuxiang Cui, Shuhao Ye, Xuecheng Xu, et al.
IEEE Robotics and Automation Letters (2024) Vol. 9, Iss. 6, pp. 5655-5662
Closed Access | Times Cited: 1
A Hierarchical Multi Robot Coverage Strategy for Large Maps With Reinforcement Learning and Dense Segmented Siamese Network
Yihang Huang, Y. Wang, Zeyi Li, et al.
IEEE Robotics and Automation Letters (2024) Vol. 10, Iss. 1, pp. 444-451
Closed Access | Times Cited: 1
Hierarchical Semantic Knowledge-Based Object Search Method for Household Robots
Mengyang Zhang, Guohui Tian, Yongcheng Cui, et al.
IEEE Transactions on Emerging Topics in Computational Intelligence (2023) Vol. 8, Iss. 1, pp. 930-941
Closed Access | Times Cited: 3
Learning Relation in Crowd Using Gated Graph Convolutional Networks for DRL-Based Robot Navigation
Haoge Jiang, Niraj Bhujel, Zhuoyi Lin, et al.
IEEE Transactions on Intelligent Transportation Systems (2023) Vol. 25, Iss. 6, pp. 5085-5095
Closed Access | Times Cited: 3
Multi-Robot Autonomous Exploration in Unknown Environment: A Review
Lina Zhu, Jiyu Cheng, Yuehu Liu
2021 China Automation Congress (CAC) (2023)
Closed Access | Times Cited: 3
Modeling and Simulation of Cooperative Exploration Strategies in Unknown Environments
Yong Peng, Yue Hu, Chuan Ai
Complex System Modeling and Simulation (2023) Vol. 3, Iss. 4, pp. 343-356
Open Access | Times Cited: 2
Sequential Learning for Ingredient Recognition From Images
Mengyang Zhang, Guohui Tian, Ying Zhang, et al.
IEEE Transactions on Circuits and Systems for Video Technology (2022) Vol. 33, Iss. 5, pp. 2162-2175
Closed Access | Times Cited: 4
Object Goal Navigation in Eobodied AI: A Survey
Baosheng Li, Jishui Han, Yuan Cheng, et al.
(2022), pp. 87-92
Closed Access | Times Cited: 4
Twin attentive deep reinforcement learning for multi-agent defensive convoy
Dongyu Fan, Haikuo Shen, Lijing Dong
International Journal of Machine Learning and Cybernetics (2022) Vol. 14, Iss. 6, pp. 2239-2250
Closed Access | Times Cited: 3
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